hubness.score: Hubness score

In influential: Identification and Classification of the Most Influential Nodes

Hubness score

Description

This function calculates the Hubness score of the desired nodes from a graph. Hubness score reflects the power of each node in its surrounding environment and is one of the major components of the IVI.

Usage

hubness.score(
  graph,
  vertices = V(graph),
  directed = FALSE,
  mode = "all",
  loops = TRUE,
  scaled = TRUE,
  verbose = FALSE
)

Arguments

graph	A graph (network) of the igraph class.
vertices	A vector of desired vertices, which could be obtained by the V function.
directed	Logical scalar, whether to directed graph is analyzed. This argument is ignored for undirected graphs.
mode	The mode of Hubness score depending on the directedness of the graph. If the graph is undirected, the mode "all" should be specified. Otherwise, for the calculation of Hubness score based on incoming connections select "in" and for the outgoing connections select "out". Also, if all of the connections are desired, specify the "all" mode. Default mode is set to "all".
loops	Logical; whether the loop edges are also counted.
scaled	Logical; whether the end result should be 1-100 range normalized or not (default is TRUE).
verbose	Logical; whether the accomplishment of different stages of the algorithm should be printed (default is FALSE).

Value

A numeric vector with the Hubness scores.

See Also

cent_network.vis

Other integrative ranking functions: comp_manipulate(), exir(), ivi.from.indices(), ivi(), spreading.score()

Examples

## Not run: 
MyData <- coexpression.data
My_graph <- graph_from_data_frame(MyData)
GraphVertices <- V(My_graph)
Hubness.score <- hubness.score(graph = My_graph, vertices = GraphVertices,
                               directed = FALSE, mode = "all",
                               loops = TRUE, scaled = TRUE)

## End(Not run)

influential documentation built on May 31, 2023, 7:35 p.m.